Полное описание API

Модуль builtin_data

InputTable: Union[DataSourceClass, None]
InputTables: Tuple[Union[DataSourceClass, None], ...]
InputVariables: VariablesClass
OutputTable: ConfigurableOutputTableClass ''' или OutputTableClass, если отключена настройка
                                              "Разрешить формировать выходные столбцы из кода" '''

class DataType(enum.IntEnum):
     None = 0
     Boolean = 1
     DateTime = 2
     Float = 3
     Integer = 4
     String = 5
     Variant = 6

class DataKind(enum.IntEnum):
     Undefined = 0
     Continuous = 1
     Discrete = 2

class UsageType(enum.IntEnum):
     Unspecified = 0
     Excluded = 1
     Useless = 2
     Active = 3
     Used = 3
     Input = 3
     Predicted = 4
     Output = 4
     Key = 5
     Group = 6
     Value = 7
     Transaction = 8
     Item = 9

class ColumnInfo(Protocol):
    Name: str, required
    DisplayName: str, optional
    DataType: int, optional
    DataKind: int, optional
    DefaultUsageType: int, optional

class ColumnClass(Sequence[Union[bool, int, str, float, datetime.datetime, None]]):
    Index: int, read-only
    Name: str, read-only
    DisplayName: str, read-only
    DataType: int, read-only
    DataKind: int, read-only
    DefaultUsageType: int, read-only
    RowCount: int, read-only
    Get(row: int) -> Union[bool, int, str, float, datetime.datetime, None]
    IsNull(row: int) -> boolean

class InputColumnClass(ColumnClass):
    UsageType: int, read-only

class OutputColumnClass(ColumnClass):
    Set(value: Union[bool, int, str, float, datetime.datetime, None]) -> None

class ConfigurableOutputColumnClass(OutputColumnClass):
    DisplayName: str
    DataType: int
    DataKind: int
    DefaultUsageType: int

''' У InputTable ColumnClass – это InputColumnClass,
    у OutputTable ColumnClass – это OutputColumnClass или ConfigurableOutputColumnClass '''
class ColumnsClass(Mapping[Union[int, str], ColumnClass], Sequence[ColumnClass])

class DataSourceClass:
    ColumnCount: int, read-only
    Columns: ColumnsClass, read-only
    RowCount: int, read-only
    Get(row: int, col: Union[int, str]) -> Union[bool, int, str, float, datetime.datetime, None]
    GetColumn(col: Union[int, str]) -> ColumnClass
    IsNull(row: int, col: Union[int, str]) -> bool

class OutputTableClass(DataSourceClass):
    Columns: ColumnsClass, read-only
    GetColumn(col: Union[int, str]) -> OutputColumnClass
    Append() -> None
    Set(col: Union[int, str], value: Union[bool, int, str, float, datetime.datetime, None]) -> None

class ConfigurableOutputTableClass(OutputTableClass):
    GetColumn(col: Union[int, str]) -> ConfigurableOutputColumnClass
    AssignColumns(source: Iteratable[ColumnInfo]) -> None
    AddColumn(ColumnInfo: Optional[ColumnInfo], Name: Optional[str],
                DisplayName: Optional[str], DataType: Optional[int],
                DataKind: Optional[int], DefaultUsageType: Optional[int]) -> OutputColumnClass
    InsertColumn(Index: int, ColumnInfo: Optional[ColumnInfo],
                Name: Optional[str], DisplayName: Optional[str],
                DataType: Optional[int], DataKind: Optional[int],
                DefaultUsageType: Optional[int]) -> OutputColumnClass
    DeleteColumn(col: Union[int, str]) -> None
    ClearColumns() -> None

class VariableClass:
    Index: int, read-only
    Name: str, read-only
    DisplayName: str, read-only
    DataType: int
    Value: Union[bool, int, str, float, datetime.datetime, None]

class VariableItemsClass(Mapping[Union[int, str], VariableClass], Sequence[VariableClass])

class VariablesClass:
    Items: VariableItemsClass, read-only
    Count: int, read-only

Примечание: Принимать аргументы по ключевым словам могут только методы OutputTable.AddColumn и OutputTable.InsertColumn, остальные принимают только позиционированные аргументы.

Модуль builtin_pandas_utils

#Метод осуществляет преобразование InputTable в pandas.DataFrame
def to_data_frame(table: DataSourceClass, useNullableArrays=False) -> pandas.DataFrame

#Метод задает структуру полей OutputTable по pandas.DataFrame
def prepare_compatible_table(table: OutputTableClass, dataframe: pandas.DataFrame, with_index=False) -> None

#Метод осуществляет запись из pandas.DataFrame в OutputTable
def fill_table(table: OutputTableClass, dataframe: pandas.DataFrame, with_index=False) -> None